Research of Robust State Estimation Method and Program Implementation Considering Large-Scale Wind Power Integration

Abstract:

According to the characteristics of the wind farm measuration and the impact of bad data on the state estimation, this paper introduces the reference value of measurement type and the bad data reference factor into the weight function, and then presents the calculation method of state estimation method for solving residual contamination problem caused by large-scale wind power integration. In order to improve the software computing speed and the data section real-time performance of robust state estimation, using parallel algorithms to do Givens transformation. Finally, the simulation tests of a regional power grid to prove that the proposed method can effectively identify telemetry bad data of wind farms eliminate residual pollution caused by it, which improve the speed and accuracy of the State Estimation.

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 361-366
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.361
• Online since: October 2014
• Authors: Ya Di Luo, Jing Li*, Zi Ming Guo, Gui Rong Shi, Dong Sheng Wang, Bo Yan
• Keywords: Givens Transformations, Large-Scale Wind Power Integration, Reference Value of Measurement Type, Residual Contamination, Weight Function

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